As a Data Engineer, you'll be at the heart of data management, designing and building essential data pipelines. This role is perfect for those who enjoy coding and working with cloud technologies.
In this role, you'll focus on designing, building, and maintaining data pipelines that are crucial for data processing and analytics. Your day-to-day tasks will involve using tools like Azure Data Factory and Databricks to create efficient ETL/ELT processes. You'll also be responsible for writing SQL queries to model and transform data, ensuring that it is ready for reporting and analysis.
The ideal candidate will have practical experience in integrating APIs, which is essential for connecting various data sources. Familiarity with Azure DevOps will be a plus, as it helps streamline the development and deployment processes. You will work closely with other data professionals to ensure that the data infrastructure supports the organization's needs.
This role suits individuals who are detail-oriented and enjoy problem-solving in a tech-driven environment. A strong foundation in coding and data management is necessary, as well as a passion for working with cloud technologies. If you thrive in a fast-paced setting and are eager to contribute to innovative data solutions, this position could be a great fit for you.
Key responsibilities include: • Designing and building ETL/ELT data pipelines • Writing SQL for data transformation and reporting • Integrating APIs for data connectivity • Collaborating with team members to enhance data processes
To succeed, you should have a solid understanding of data engineering principles and be comfortable working with various tools and technologies in the Azure ecosystem.
You'll be taken to the original listing on PNet to apply.